Abstract：
:According to functional or anatomical modalities, medical imaging provides a visual representation of complex structures or activities in the human body. One of the most common processing methods applied to those images is segmentation, in which an image is divided into a set of regions of interest. Human anatomical complexity and medical image acquisition artifacts make segmentation of medical images very complex. Thus, several solutions have been proposed to automate image segmentation. However, most existing solutions use prior knowledge and/or require strong interaction with the user. In this paper, we propose a multi-agent approach for the segmentation of 3D medical images. This approach is based on a set of autonomous, interactive agents that use a modified region growing algorithm and cooperate to segment a 3D image. The first organization of agents allows region seed placement and region growing. In a second organization, agent interaction and collaboration allow segmentation refinement by merging the over-segmented regions. Experiments are conducted on magnetic resonance images of healthy and pathological brains. The obtained results are promising and demonstrate the efficiency of our method.
journal_name
Artif Intell Medjournal_title
Artificial intelligence in medicineauthors
Bennai MT,Guessoum Z,Mazouzi S,Cormier S,Mezghiche Mdoi
10.1016/j.artmed.2020.101980subject
Has Abstractpub_date
2020-11-01 00:00:00pages
101980eissn
0933-3657issn
1873-2860pii
S0933-3657(20)31245-8journal_volume
110pub_type
杂志文章abstract：:The research at the IIIA has produced over more than a decade two versions of a tool for developing knowledge-based systems: Milord and Milord II. This tool has been mainly used for the development of medical applications. In this paper we summarize the Milord II approximate reasoning approach based on fuzzy sets, and...
journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/s0933-3657(00)00080-4
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abstract：OBJECTIVES:In the presurgical analysis for drug-resistant focal epilepsies, the definition of the epileptogenic zone, which is the cortical area where ictal discharges originate, is usually carried out by using clinical, electrophysiological and neuroimaging data analysis. Clinical evaluation is based on the visual det...
journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
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journal_title：Artificial intelligence in medicine
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doi：10.1016/j.artmed.2013.08.001
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
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journal_title：Artificial intelligence in medicine
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doi：10.1016/j.artmed.2011.09.002
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/j.artmed.2020.101881
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/j.artmed.2008.07.015
更新日期：2009-02-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
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更新日期：2003-01-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/j.artmed.2013.08.004
更新日期：2013-10-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/j.artmed.2008.07.013
更新日期：2009-05-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/j.artmed.2011.04.009
更新日期：2011-06-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/s0933-3657(03)00053-8
更新日期：2003-09-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/j.artmed.2019.101763
更新日期：2020-01-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/j.artmed.2013.04.004
更新日期：2013-09-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/s0933-3657(00)00050-6
更新日期：2000-08-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/j.artmed.2012.09.001
更新日期：2012-11-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/j.artmed.2017.07.002
更新日期：2017-07-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
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更新日期：2017-06-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/j.artmed.2016.01.005
更新日期：2016-02-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/j.artmed.2016.06.002
更新日期：2016-07-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/0933-3657(94)90025-6
更新日期：1994-12-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/j.artmed.2019.02.002
更新日期：2019-05-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/j.artmed.2004.01.015
更新日期：2004-09-01 00:00:00
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章
doi：10.1016/0933-3657(93)90040-a
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journal_title：Artificial intelligence in medicine
pub_type： 杂志文章,评审
doi：10.1016/s0933-3657(01)00087-2
更新日期：2001-11-01 00:00:00
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journal_title：Artificial intelligence in medicine
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journal_title：Artificial intelligence in medicine
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doi：10.1016/j.artmed.2018.12.003
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